Show HN: Gemma 4 Multimodal Fine-Tuner for Apple Silicon (github.com) AI

The GitHub project “gemma-tuner-multimodal” describes a PyTorch/LoRA fine-tuning toolkit for Gemma 4 and Gemma 3n that targets multimodal data (text, images, and audio) on Apple Silicon using MPS/Metal, without requiring NVIDIA GPUs. It supports local CSV-based training (with streaming from cloud stores mentioned as an option) and exports fine-tuned adapters for use with HF/SafeTensors and related inference tooling. The repo also includes a CLI “wizard” for configuring datasets and launching training, plus installation guidance including a separate dependency path for Gemma 4.